首页    期刊浏览 2024年11月29日 星期五
登录注册

文章基本信息

  • 标题:URAV Simulation Training System Based on Aerosim and Google Earth
  • 本地全文:下载
  • 作者:Zengyan Li ; Xiaomin Li ; Junwei Lv
  • 期刊名称:Journal of Signal and Information Processing
  • 印刷版ISSN:2159-4465
  • 电子版ISSN:2159-4481
  • 出版年度:2012
  • 卷号:3
  • 期号:2
  • 页码:169-174
  • DOI:10.4236/jsip.2012.32022
  • 出版社:Scientific Research Publishing
  • 摘要:In order to solve the difficulties of traditional simulation training method on unmanned reconnaissance aerial vehicle, such as the low environment fidelity, difficulty of modeling and long cycle of development, a simulation training method based on Google Earth is put forward. The 6-DOF motion system of URAV is established through Matlab/Simulink. The visual simulation environment which is close to real scenes is formed though GE and software of SketchUp, and the visualization of flight data and elevation information of the region are also obtained through the software of GMS Aircraft Instrument and Measurement Studio. Experiments show that the method has satisfactory effects and its functions also can be strengthened, therefore it provides reference to related researchers.
  • 关键词:Unmanned Reconnaissance Aerial Vehicle; Simulation Training; Google Earth; Visual Simulation
国家哲学社会科学文献中心版权所有